Month: January 2023

Categorization as Calculating Probabilities: Bayesian Approach

Imagine you’re trying to categorize different types of dogs based on their features and their relationships. Well, researchers have been studying how our understanding of cause and effect influences our categorization process. They’ve used Bayesian causal models to analyze this phenomenon. The researchers found that when it comes to categorization, people are more likely to […]

Published on January 21, 2023

Unlocking Infant Minds: Movement as a Window into Cognition

Just as our eyes reveal our thoughts, so too do our movements. Researchers rely on the behaviors of infants – such as eye and head movements, reaching, and locomotion – to gain insight into their cognition. By studying these movements in conjunction with the assumption that cognitive processes take place in the cerebral cortex, it […]

Published on January 21, 2023

Lipid profiles in the cerebrospinal fluid of rats with 6-hydroxydopamine-induced lesions as a model of Parkinson’s disease

BackgroundParkinson’s disease (PD) is a progressive neurodegenerative disease with characteristic pathological abnormalities, including the loss of dopaminergic (DA) neurons, a dopamine-depleted striatum, and microglial activation. Lipid accumulation exhibits a close relationship with these pathologies in PD.MethodsHere, 6-hydroxydopamine (6-OHDA) was used to construct a rat model of PD, and the lipid profile in cerebrospinal fluid (CSF) […]

Published on January 20, 2023